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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: tf-tpu/roberta-base-epochs-500-no-wd |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# tf-tpu/roberta-base-epochs-500-no-wd |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.6486 |
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- Train Accuracy: 0.0450 |
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- Validation Loss: 4.6758 |
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- Validation Accuracy: 0.0446 |
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- Epoch: 23 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 278825, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 14675, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001} |
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- training_precision: mixed_bfloat16 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 8.3284 | 0.0211 | 7.1523 | 0.0266 | 0 | |
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| 6.3670 | 0.0318 | 5.7812 | 0.0342 | 1 | |
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| 5.6051 | 0.0380 | 5.4414 | 0.0420 | 2 | |
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| 5.3602 | 0.0433 | 5.2734 | 0.0432 | 3 | |
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| 5.2285 | 0.0444 | 5.1562 | 0.0442 | 4 | |
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| 5.1371 | 0.0446 | 5.1133 | 0.0436 | 5 | |
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| 5.0673 | 0.0446 | 5.0703 | 0.0442 | 6 | |
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| 5.0132 | 0.0447 | 4.9883 | 0.0442 | 7 | |
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| 4.9642 | 0.0448 | 4.9219 | 0.0441 | 8 | |
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| 4.9217 | 0.0448 | 4.9258 | 0.0440 | 9 | |
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| 4.8871 | 0.0448 | 4.8867 | 0.0439 | 10 | |
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| 4.8548 | 0.0449 | 4.8672 | 0.0439 | 11 | |
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| 4.8277 | 0.0449 | 4.8047 | 0.0445 | 12 | |
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| 4.8033 | 0.0449 | 4.8477 | 0.0437 | 13 | |
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| 4.7807 | 0.0449 | 4.7617 | 0.0439 | 14 | |
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| 4.7592 | 0.0449 | 4.7773 | 0.0437 | 15 | |
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| 4.7388 | 0.0449 | 4.7539 | 0.0441 | 16 | |
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| 4.7225 | 0.0449 | 4.7266 | 0.0439 | 17 | |
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| 4.7052 | 0.0449 | 4.6914 | 0.0450 | 18 | |
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| 4.6917 | 0.0449 | 4.7188 | 0.0444 | 19 | |
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| 4.6789 | 0.0449 | 4.6914 | 0.0444 | 20 | |
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| 4.6689 | 0.0449 | 4.7031 | 0.0439 | 21 | |
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| 4.6570 | 0.0449 | 4.7031 | 0.0437 | 22 | |
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| 4.6486 | 0.0450 | 4.6758 | 0.0446 | 23 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- TensorFlow 2.9.1 |
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- Tokenizers 0.13.2 |
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